Table 2.
Indicator | Bayesian logistic regression models | |||
Stationary | Non-stationary | |||
ORa | 95% BCIb | ORa | 95% BCIb | |
Age (years) | ||||
6–10 | 1 | 1 | ||
11–16 | 0.75 | 0.65, 0.87 | 0.75 | 0.65, 0.87 |
Socioeconomic status | ||||
Most poor | 1 | 1 | ||
Very poor | 0.90 | 0.71, 1.13 | 0.90 | 0.71, 1.13 |
Poor | 1.21 | 0.95, 1.51 | 1.21 | 0.95, 1.51 |
Less poor | 0.91 | 0.90, 1.15 | 0.90 | 0.71, 1.14 |
Least poor | 0.85 | 0.66, 1.08 | 0.84 | 0.65, 1.08 |
Sleeping under a bed net | 0.92 | 0.72, 1.15 | 0.92 | 0.73, 1.15 |
Distance to health care facility | 1.07 | 0.87, 1.29 | 1.04 | 0.82, 1.27 |
Annual mean NDVI | 1.16 | 0.98, 1.38 | 1.17 | 0.98, 1.40 |
Mean RFE during transmission season | 1.06 | 0.87, 1.27 | 1.06 | 0.87, 1.27 |
Distance to rivers | ||||
<500 m | 1 | 1 | ||
500–999 m | 1.32 | 0.87, 1.94 | 1.27 | 0.81, 1.89 |
= 1000 m | 0.75 | 0.48, 1.14 | 0.72 | 0.47, 1.09 |
ρ1c | 0.0014 | 0.0003, 0.002 | 0.0015 | 0.0003, 0.002 |
ρ2 | 0.0014 | 0.0004, 0.002 | ||
σ12d | 0.30 | 0.17, 0.49 | 0.23 | 0.10, 0.48 |
σ22 | 0.40 | 0.18, 0.79 | ||
DICe | 4899.8 | 4900.1 |
aOR: odds ratio
bBCI: Bayesian credible interval
cρ: scalar parameter representing the rate of decline of correlation with distance between points
dσ2: estimate of geographic variability
eDIC: deviance information criterion; a composite measure of how well the model does, i.e. a compromise between fit and complexity, with smaller DICs indicating better performance of the model